- Degree
- Master of Science (MSc)
- Course location
- Garching b. München
- In cooperation with
- Elite Network of Bavaria (Elitenetzwerk Bayern) and Friedrich-Alexander-Universität Erlangen-Nürnberg
- Teaching language
- • English
- Languages
- All courses are taught in English (100%).
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Application deadline
- Applications are open from 1 February to 31 May each year.
For non-EU applicants, we strongly recommend to apply by 15 March.
- Tuition fees per semester in EUR
- 6,000 EUR
- Additional information on tuition fees
- Please refer to the following website for more information on tuition fees at TUM: https://www.tum.de/en/studies/fees/tuition (https://www.tum.de/en/studies/fees/tuition).
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- Artificial Intelligence (AI) is rapidly transforming medicine, from diagnostics and drug discovery to personalised treatment and healthcare delivery. AI supports innovation in medicine and biotechnology, accelerates the development of new therapies and medical devices, and contributes to sustainable improvements in healthcare systems.
The Elite Master's programme AI in Biomedicine (AIBM) bridges the gap between computer science, engineering, and medicine to train future generations of AI experts who combine deep technical expertise in cutting-edge AI techniques with domain knowledge about biomedical applications. AIBM is a research-oriented two-year graduate programme, with an optional Research Excellence Certificate, offered at the Technical University of Munich in cooperation with Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). It is designed to prepare students for careers in academic research and high-impact industrial innovation. The programme emphasises independent scientific thinking, methodological rigour, and the ability to contribute to the advancement of AI technologies in biomedicine.
The technical themes of the AIBM programme span the full landscape of AI, machine learning, data science, and related topics, such as Trustworthy AI that is accepted and adopted by clinicians, patients and citizens; Human-Centered AI that enables personalisation and effective collaboration between humans and AI to improve healthcare outcomes; and Multi-Modal and Generative AI that leverages emerging capabilities of AI systems to learn from complex data and generate new, meaningful samples.